Towards the development of a resource allocation model for primary, continuing and community care in the health services - Volume 1

This report proposes a resource allocation model for the Irish health services based on the principle that each Irish resident should be provided with access to health services funded from general taxation and in proportion to their need for those services. At the moment, such a system cannot be deployed as some necessary financial information is not available. The information could be made available, and should be done as quickly as possible. If this information were made available, the model proposed here, while very crude, would serve as a good starting point for resource allocation and should be initiated as soon as possible. Any reasonable system of resource allocation would be an improvement on the system that is currently in place

TRANSLATION IN LIBEL CASES: REPUTATIONS AT STAKE!

Abstract: In this paper we examine translation arising in court cases involving reputational damage. A diachronic and tightly focused cross-jurisdictional selection of examples from case law is used to highlight the range of ways in which translation can be employed, blamed, or relied upon by the parties and by the courts, and we glimpse how translations can be a source of libel, a defence against libel, or a gateway to libellous material, how crucial translation can be in protecting or damaging reputations, and how significantly it can affect a case’s outcome. We apply Engberg’s lens for communication in legal contexts, distinguishing micro, meso and macro occurrences of translation at publisher/business/individual, judicial, and State levels. Recurring translation-related topics either mooted by courts or arising in our analysis are then outlined, including: competing translations; translation techniques; translator identification; online translation; how the acceptance of jurisdiction may be influenced by translation requirements; and how judges approach decision-making when foreign language documents and translation are involved.Abstract: In this paper we examine translation arising in court cases involving reputational damage. A diachronic and tightly focused cross-jurisdictional selection of examples from case law is used to highlight the range of ways in which translation can be employed, blamed, or relied upon by the parties and by the courts, and we glimpse how translations can be a source of libel, a defence against libel, or a gateway to libellous material, how crucial translation can be in protecting or damaging reputations, and how significantly it can affect a case’s outcome. We apply Engberg’s lens for communication in legal contexts, distinguishing micro, meso and macro occurrences of translation at publisher/business/individual, judicial, and State levels. Recurring translation-related topics either mooted by courts or arising in our analysis are then outlined, including: competing translations; translation techniques; translator identification; online translation; how the acceptance of jurisdiction may be influenced by translation requirements; and how judges approach decision-making when foreign language documents and translation are involved

The Gut Microbiota Composition in Dichorionic Triplet Sets Suggests a Role for Host Genetic Factors

peer-reviewedMonozygotic and dizygotic twin studies investigating the relative roles of host genetics and environmental factors in shaping gut microbiota composition have produced conflicting results. In this study, we investigated the gut microbiota composition of a healthy dichorionic triplet set. The dichorionic triplet set contained a pair of monozygotic twins and a fraternal sibling, with similar pre- and post-natal environmental conditions including feeding regime. V4 16S rRNA and rpoB amplicon pyrosequencing was employed to investigate microbiota composition, and the species and strain diversity of the culturable bifidobacterial population was also examined. At month 1, the monozygotic pair shared a similar microbiota distinct to the fraternal sibling. By month 12 however, the profile was more uniform between the three infants. Principal coordinate analysis (PCoA) of the microbiota composition revealed strong clustering of the monozygotic pair at month 1 and a separation of the fraternal infant. At months 2 and 3 the phylogenetic distance between the monozygotic pair and the fraternal sibling has greatly reduced and by month 12 the monozygotic pair no longer clustered separately from the fraternal infant. Pulse field gel electrophoresis (PFGE) analysis of the bifidobacterial population revealed a lack of strain diversity, with identical strains identified in all three infants at month 1 and 12. The microbiota of two antibiotic-treated dichorionic triplet sets was also investigated. Not surprisingly, in both triplet sets early life antibiotic administration appeared to be a major determinant of microbiota composition at month 1, irrespective of zygosity. By month 12, early antibiotic administration appeared to no longer exert such a strong influence on gut microbiota composition. We hypothesize that initially host genetics play a significant role in the composition of an individual’s gut microbiota, unless an antibiotic intervention is given, but by month 12 environmental factors are the major determinant.This study was performed as part of the INFANTMET project (10/RD/Infantmet/MFRC/705) and was funded by the Government of Ireland's Department of Agriculture Fisheries and in part by Alimentary Pharmabiotic Centre. KM is a Teagasc Walsh Fellow. CS, RPR and PWOT are members of The Alimentary Pharmabiotic Centre, which is a Centre for Science and Technology (CSET) funded by the Science Foundation Ireland (SFI), through the Irish Government’s National Development Plan (Grant no. 02/CE/B124 and 07/CE/B1368)

The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line

BACKGROUND: The Tissue Microarray (TMA) facilitates high-throughput analysis of hundreds of tissue specimens simultaneously. However, bottlenecks in the storage and manipulation of the data generated from TMA reviews have become apparent. A number of software applications have been developed to assist in image and data management; however no solution currently facilitates the easy online review, scoring and subsequent storage of images and data associated with TMA experimentation. RESULTS: This paper describes the design, development and validation of the Virtual Tissue Matrix (VTM). Through an intuitive HTML driven user interface, the VTM provides digital/virtual slide based images of each TMA core and a means to record observations on each TMA spot. Data generated from a TMA review is stored in an associated relational database, which facilitates the use of flexible scoring forms. The system allows multiple users to record their interpretation of each TMA spot for any parameters assessed. Images generated for the VTM were captured using a standard background lighting intensity and corrective algorithms were applied to each image to eliminate any background lighting hue inconsistencies or vignetting. Validation of the VTM involved examination of inter-and intra-observer variability between microscope and digital TMA reviews. Six bladder TMAs were immunohistochemically stained for E-Cadherin, β-Catenin and PhosphoMet and were assessed by two reviewers for the amount of core and tumour present, the amount and intensity of membrane, cytoplasmic and nuclear staining. CONCLUSION: Results show that digital VTM images are representative of the original tissue viewed with a microscope. There were equivalent levels of inter-and intra-observer agreement for five out of the eight parameters assessed. Results also suggest that digital reviews may correct potential problems experienced when reviewing TMAs using a microscope, for example, removal of background lighting variance and tint, and potential disorientation of the reviewer, which may have resulted in the discrepancies evident in the remaining three parameters

Santa Clara Demonstration Status

Fuel Cell Engineering Corporation (FCE) is in the fourth year of a DOE Cooperative Agreement Program (private-sector cost-shared) aimed at the demonstration of ERC's direct carbonate fuel cell (DFC) technology at full scale. FCE is a wholly owned subsidiary of Energy Research Corporation (ERC), which has been pursuing the development of the DFC for commercialization near the end of this decade. The DFC produces power directly from hydrocarbon fuels electrochemically, without the need for external reforming or intermediate mechanical conversion steps. As a result, the DFC has the potential to achieve very high efficiency with very low levels of environmental emissions. Modular DFC power plants, which can be shop-fabricated and sited near the user, are ideally suited for distributed generation, cogeneration, industrial, and defense applications. This project is an integral part of the ERC effort to commercialize the technology to serve these applications. Potential users of the commercial DFC power plant under development at ERC will require that the technology be demonstrated at or near the full scale of the commercial products. The objective of the Santa Clara Demonstration Project (SCDP) is to provide the first such demonstration of the technology. The approach ERC has taken in the commercialization of the DFC is described in detail elsewhere [1]. Briefly, an aggressive core technology development program is in place which is focused by ongoing contact with customers and vendors to optimize the design of the commercial power plant. ERC has selected a 2.85 MW power plant unit for initial market entry. Two ERC subsidiaries are supporting the commercialization effort: The Fuel Cell Manufacturing Corporation (FCMC) and the Fuel Cell Engineering Corporation (FCE). FCMC manufactures carbonate stacks and multi-stack modules, currently from its manufacturing facility in Torrington, CT. FCE is responsible for power plant design, integration of all subsystems, sales/marketing, and client services. The commercial product specifications have been developed by working closely with the Fuel Cell Commercialization Group (FCCG). FCCG members include municipal utilities, rural electric co-ops, and investor owned utilities who have expressed interest in being the initial purchasers of the first commercial DFC power plants. The utility participants in the SCDP have been drawn from the membership of FCCG. FCE is serving as the prime contractor for the design, construction, and testing of the SCDP Plant, and FCMC has manufactured the multi-stack submodules used in the DC power section of the plant. Fluor Daniel Inc. (FDI) served as the architect-engineer for the design and construction of the plant, and also provided support to the design of the multi-stack submodules. FDI is also assisting the ERC companies in commercial power plant design

Parental and clinician views of consent in neonatal research

Aim: To determine parental and clinician views of the informed consent process in neonatal research. Methods: A questionnaire-based study on the informed consent process. Two questionnaires were developed and distributed to parents and clinicians over a four-month period. Results: Thirty-four parents (79%) surveyed had consented their baby to a research study. The majority of clinicians (72%) had a preference for antenatal provision of information. A desire to help future babies (97%, n=32) and a belief that their babyâ s healthcare would directly benefit (72%, n=28) were primary reasons for consenting. The majority (76% n=28) of parents were not in favour of a waiver of consent. However twenty clinicians (56%) agreed that a waiver of consent may be appropriate in neonatal research. Thirty-one (86%) clinicians rated GCP training as important. Discussion: Parents are generally supportive of neonatal research. Good clinical practice training is essential for clinicians involved in neonatal research

A New Outlook on Ice Cloud through Sub-Millimetre-Wave Scattering

Scattering by atmospheric ice at sub-mm-wave frequencies is a challenge to both the cloud physics and light scattering communities owing to scattering at these frequencies being dependent on assumptions about the particle size distribution, ice crystal shape, orientation and size. Moreover, the scattering also depends on how the particle density is assumed to evolve with size. As there is as yet no prediction of a universal PSD or mass–dimension or density–dimension relationship, the modelling of ice crystals, so as to conserve the observed scattering and ice mass, is potentially problematic. In this presentation, the challenge presented by sub-mm-wave scattering is explored through the study of an ice cloud case using a new sub-mm spectral-like radiometer that was deployed on board an aircraft. Here, we evaluate the predictive quality of applying members from an ensemble model of cirrus ice crystals to modelling observed sub-millimetre brightness temperatures. The airborne straight and level near-nadir observations used here were from a case of ice cloud, which occurred during a winter period. The airborne microwave observations were obtained using the International Submillimetre Airborne Radiometer (ISMAR) [1], as the observations collected were at near-nadir we do not as yet consider polarisation. The ISMAR instrument has five central frequencies located between 118 and 664 GHz, with a number of sub-channels situated around some of the central frequencies to obtain spectral-like observations. The frequency selected for presentation is the 664 GHz “window” channel. This channel selection reduces uncertainties in modelling the gaseous spectroscopy, thereby enabling the scattering properties of members of the ensemble model to be more directly evaluated at this frequency. This is also the frequency that is most sensitive to assumptions about the ice crystal models and microphysics. The methodologies adopted for the calculation of the single-scattering properties of the ensemble model members at this frequency have been previously peer-reviewed and published [2, 3]. As such, this presentation concentrates on the application of these methodologies to the interpretation of the airborne ISMAR observations using a fast, state-of-the-art line-by-line radiative transfer model [4]. Moreover, state-of-the-art airborne observations of particle size distributions (PSDs) were also collected from the ice cloud case. These in-situ PSDs, as well as an often used database of in-situ PSDs collected during the SPARTICUS campaign in 2010, are applied to the two most compact and spatial hexagonal ice aggregate members of the ensemble model. A further ice aggregate model, called the Voronoi model, forming a chain of polyhedral particles, constructed to follow an observed density–dimension relationship, was also applied so as to simulate the observations. From the in-situ PSDs, geometric optics-based power law relationships have been previously obtained between the ice water content and the bulk extinction coefficient [5]. These same geometric optics-based relationships were estimated using the area–dimension power laws predicted by the ensemble model members and the Voronoi model. The best-fit ensemble model members to the observed power laws, and the Voronoi model, were applied in order to simulate the sub-mm-wave observations. Thus, we demonstrate consistency of model application from the limit of geometric optics (i.e. typically at visible wavelengths) to the sub-mm. In this presentation, we demonstrate a general overlap between the uncertainty in the radiative transfer simulations assuming the ensemble model members and the uncertainty in ISMAR brightness temperature observations at 664 GHz. However, portions of the straight and level runs were either simulated well with the compact aggregate model member or a three-component model, consisting of the two members of the ensemble model and the Voronoi particle, but never with one and the same model. Owing to the Voronoi model being the most spatial of all the models, this model simulated, to within the upper end of the experimental uncertainty, the ISMAR observations, but never the coldest observations at the highest sub-mm-wave frequency. However, if a different density–dimension relationship were to be adopted in the modelling of the Voronoi model that predicted higher mass values, then this should result in an improved agreement with the observations. It is as yet unclear as to which density–dimension relation is best to apply in general. These observations indicate changes in microphysics in terms of the mass–dimension profile and/or the size of the ice crystals and, therefore, represent a challenge to the global retrieval of ice cloud properties using the Ice Cloud Imager (ICI), which is due for launch around 2022. A further uncertainty is the assumed parametrised shape of the PSD. We also show in this presentation that the choice of PSD and ice crystal models are of equal importance in interpreting sub-mm-wave observations. [1] Fox, S et al., 2017: ISMAR: an airborne submillimetre radiometer. Atmos. Meas. Tech., doi:10.5194/ amt-10-477-2017. [2] Baran, A. J., et al., 2018: The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part II: Application to a three-component model of ice cloud and its evaluation against the bulk single-scattering properties of various other aggregate models. JQSRT. 206, 68-80. [3] Baran, A. J., Hesse E., and Sourdeval O., 2017: The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part I: The ray tracing with diffraction on facets method. JQSRT. 190, 83-100. [4] Havemann, S et al., The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC): a multipurpose code based on Principal Components, submitted to JQSRT (February 2018). [5] Fox, S et al., 2017: ISMAR: an airborne submillimetre radiometer. Atmos. Meas. Tech., doi:10.5194/ amt-10-477-2017.Peer reviewe

Contribution of shape and surface reflectance information to kinship detection in 3D face images

Previous research has established that humans are able to detect kinship among strangers from facial images alone. The current study investigated what facial information is used for making those kinship judgments, specifically the contribution of face shape and surface reflectance information (e.g., skin texture, tone, eye and eyebrow color). Using 3D facial images, 195 participants were asked to judge the relatedness of 100 child pairs, half of which were related and half of which were unrelated. Participants were randomly assigned to judge one of three stimulus versions: face images with both surface reflectance and shape information present (reflectance and shape version), face images with shape information removed but surface reflectance present (reflectance version), or face images with surface reflectance information removed but shape present (shape version). Using binomial logistic mixed models, we found that participants were able to detect relatedness at levels above chance for all three stimulus versions. Overall, both individual shape and surface reflectance information contribute to kinship detection, and both cues are optimally combined when presented together. Preprint, preregistration, code, and data are available on the Open Science Framework (osf.io/7ftxd)

Kin recognition and perceived facial similarity

Facial similarity between individuals informs kinship judgments in third-party kin recognition. Indeed, one study found that similarity and kinship judgments encapsulate the same information (Maloney & Dal Martello, 2006). Yet, another study found that this is not the case when comparing adult face pairs of different sex (DeBruine et al., 2009). We replicated these studies to further clarify the role of facial similarity in kin recognition. We recruited 318 raters, who were shown 50 sibling pairs and 50 age- and sex-matched unrelated pairs ranging from 3 to 17 years old. Each rater was randomly assigned to make either kinship judgments (“related” or “unrelated”) or similarity judgments (scale from 0 [not very similar] to 10 [very similar]). The threshold model found that performance in both tasks was equally accurate, with participants detecting child siblings in the kinship task above chance and giving significantly higher similarity ratings to siblings in the similarity task. In both tasks, opposite-sex siblings were perceived to be siblings less often than same-sex siblings, and judgments of unrelated face pairs were not affected by the sex of faces. Conversely, the effect of age difference within pairs of faces differed for the two tasks: a greater age difference decreased all kinship judgments, but only decreased similarity judgments of siblings, not unrelated pairs. In line with DeBruine et al. (2009), these findings suggest that similarity and kinship judgments are highly correlated but not strictly synonymous. The OSF Pre-registration Challenge for this project can be found at osf.io/ps9hy and the data at osf.io/sef9k